جست‌وجوی استاد و پژوهشگر

• Computational Biofluid Dynamics
• Mathematical Biology
• Biomechanics
• +۲ مورد دیگر

Jared Barber is an Associate Professor in the Department of Mathematical Sciences at Indiana University, maintaining an active research program in computational biofluid dynamics and mathematical biology with applications spanning cell migration, bone mechanics, blood flow dynamics, and sepsis modeling. His educational background includes: Ph.D. in Applied Mathematics, University of Arizona M.S. in Applied Mathematics, University of Arizona B.S. in Mathematics, Montana State University-Bozeman Barber's research centers on developing mathematical models to simulate biological systems, with primary focus on computational biofluid dynamics and mathematical biology. His work addresses cell migration mechanisms in wound healing and cancer metastasis, osteocyte mechanics in bone remodeling, red blood cell dynamics in microvasculature, collateral vessel formation for blood flow restoration, and quantitative sepsis modeling. He employs computational fluid dynamics, solid mechanics, and spring-network discretization techniques to translate biological phenomena into solvable mathematical frameworks. Analysis of his 2019-2025 publications reveals consistent methodology development for multiscale biological systems, progressing from cellular mechanics to organ-level hemodynamics. Key trends include predictive modeling of physiological responses (e.g., oxygen distribution in capillaries, immune-bacterial interactions in sepsis) and clinically relevant insights such as prioritizing collateral vessel growth over capillary proliferation for post-clot blood flow recovery. No scientific awards are documented in the provided materials. Information regarding student advising and research grants is absent from the source text. Research laboratory structures and team compositions are not specified in the available documentation.

Kevin W. Casselمشاهده پروفایل

استاد

• Thermo-Fluid Sciences
• Computational Fluid Dynamics
• Boundary Layer Theory
• +۶ مورد دیگر

Kevin W. Cassel is a Professor of Mechanical and Aerospace Engineering and Applied Mathematics at Illinois Institute of Technology, and serves as Vice Provost for Academic Affairs. He holds dual appointments in the Armour College of Engineering and the College of Computing. Education: Ph.D. Mechanical Engineering (Lehigh University, 1993), M.S. Mechanical Engineering (Lehigh University, 1990), B.S. Mechanical Engineering (Messiah College, 1988). Research focuses on analytical and computational solutions to partial differential equations, numerical algorithms for fluid flows, boundary-layer instabilities, and bio-fluid dynamics. His work spans unsteady separation, supersonic/hypersonic flows, and heat transfer in complex systems. He has contributed to advancements in physics-informed machine learning for fluid mechanics and vascular hemodynamics modeling. Major awards include Fellow of the American Society of Mechanical Engineers (2020), MMAE Excellence in Teaching Award (2015), and Army Research Office Young Investigator Award (1998-2001). His research has been supported by grants from federal agencies and industry. Publications include two textbooks: Matrix, Numerical, and Optimization Methods in Science and Engineering (2021) and Variational Methods with Applications in Science and Engineering (2013). He actively collaborates on interdisciplinary projects in computational fluid dynamics, bioengineering, and mathematical modeling.

Keigo Kawajiمشاهده پروفایل

دانشیار

• Magnetic Resonance Imaging (MRI)
• Quantitative Biomarkers
• Cardiovascular MRI
• +۶ مورد دیگر

Dr. Keigo Kawaji is an Associate Professor of Biomedical Engineering at Illinois Institute of Technology (IIT), affiliated with the Armour College of Engineering. His research focuses on novel MRI-based biomarkers, BME instrumentation, and educational pedagogy. He holds memberships in RSNA, TERMIS, ISMRM, and the American Heart Association. Notable awards include the NIH K25 Award (2019) and FSCMR Fellowship (2019). Education: Ph.D. Biomedical Engineering (Cornell, 2012), B.S.E./B.A. (Duke, 2007) Research: Specializes in cardiac and neurovascular MRI, quantitative biomarkers, and tissue engineering. Leads the MRTD Lab, emphasizing translational research between engineering and medicine. Recent work includes developing AI-driven cardiac MRI analysis, optimizing MRI protocols for implantable devices, and creating bioengineered vascular grafts. Active in grants such as the NIH K25 and NSF i-Corps programs.

Kenneth M Tichauerمشاهده پروفایل

دانشیار

• Medical Imaging Systems
• Cancer Treatment
• Optical Imaging
• +۷ مورد دیگر

Kenneth M Tichauer is an Associate Professor of Biomedical Engineering and Associate Chair of Graduate Affairs at the Department of Biomedical Engineering within Illinois Institute of Technology's Armour College of Engineering. He holds a Ph.D. in Medical Biophysics from the University of Western Ontario (2008) and a B.Sc. in Physics from the University of British Columbia (2003). His research focuses on developing medical imaging systems to improve cancer treatment options, including fluorescence-guided surgery, quantitative molecular imaging, and blood flow/metabolism analysis. Key projects involve optimizing imaging agents for tumor detection, lymph node metastasis identification, and personalized precision medicine approaches. Dr. Tichauer’s work bridges optical and nuclear medicine modalities, emphasizing clinical translation. Recent advancements include paired-agent imaging protocols for real-time surgical guidance and TRIPODD (a novel fluorescence imaging platform for drug distribution analysis). His lab collaborates on translational studies involving both preclinical models and clinical trials. Publications highlight contributions to molecular imaging techniques, receptor kinetics modeling, and intraoperative diagnostics. Current efforts emphasize improving imaging accuracy in heterogeneous tissues and advancing multimodal imaging fusion strategies.

• Biophotonics
• Biomedical Engineering
• Medical Imaging
• +۳ مورد دیگر

Igor Meglinski is a Professor at Aston University, affiliated with the College of Engineering and Physical Sciences, Department of Mechanical, Biomedical & Design Engineering. He is part of the Engineering for Health team and the Aston Research Centre for Health in Ageing. His research focuses on biophotonics, biomedical imaging, and optical techniques such as laser speckle contrast imaging, dynamic light scattering, and Mueller matrix polarimetry. Key interests include blood flow assessment, tissue diagnostics, and neuroimaging applications. Meglinski has contributed to over 180 research outputs, including seminal work on light-tissue interaction and advanced optical diagnostics. He supervises PhD students and collaborates internationally on projects like the 2nd Spring Biophotonics Conference in Porto. Education: PhD (specifics not detailed). Research Interests: Biophotonics, biomedical imaging, optical polarimetry, laser speckle contrast imaging, dynamic light scattering, and applications in neurovascular monitoring and postmortem studies. His work bridges classical and quantum optics for biomedical applications. Publications: Over 180 articles, including recent contributions on Mueller matrix imaging, orbital angular momentum in light propagation, and transcranial blood flow visualization. Collaborations: Extensive international collaborations, particularly in Russia and Europe, focusing on optical diagnostics and biomedical engineering.

• Fracture Mechanics
• Numerical Mathematics
• Computer Simulation
• +۵ مورد دیگر

Thomas-Peter Fries is a Professor at the Institute of Structural Analysis, TU Graz. His research focuses on computational mechanics, fluid-structure interaction (FSI), and biomedical engineering, particularly in modeling aortic dissection and hydraulic fracturing. He develops advanced numerical methods like the Trace Finite Element Method (TraceFEM), XFEM, and higher-order meshing techniques for complex geometries. Fries leads projects funded by FWF and EU, collaborating internationally on cardiovascular simulations and material science. His work bridges CAD integration, patient-specific modeling, and multiphysics problems, emphasizing accuracy and efficiency in FSI simulations. Education and affiliations: PhD and habilitation in engineering, with extensive contributions to computational methods for structural analysis and fluid dynamics. Active in conferences and editorial roles, he has over 140 publications and 20+ projects since 2005. Research areas include fracture mechanics, numerical mathematics, and CFD applications in biomedical systems. Key Projects : Embedded Manifolds : Continuously embedded manifold models in mechanics (FWF-funded, 2025–2029) Aortic Dissection : Simulating fluid-structure-crack interactions and thrombus formation (2018–2020) VEGA : CAD-based virtual prototyping with boundary element methods (2021–2025) Scientific Contributions : Pioneered level-set-based methods for embedded substructures and FSI Developed high-order meshing schemes for implicit geometries Advanced patient-specific models for hemodynamics and aortic pathology Labs/Teams : Part of TU Graz’s interdisciplinary teams in computational biomechanics and structural analysis. Collaborates with experts in cardiovascular medicine, materials science, and computer science.

Kristen Funkمشاهده پروفایل

استادیار

• Neuroinflammation
• Neurodegenerative Diseases
• Neurovirology
• +۳ مورد دیگر

Dr. Kristen Funk is an Assistant Professor at the University of North Carolina at Charlotte, focusing on neuroinflammation and its role in neurodegenerative and neuroinfectious diseases. Her research explores how viral pathogens and aging influence neurodegenerative processes, particularly Alzheimer's disease. She investigates T cell immunity, microglial responses, and molecular mechanisms underlying neuroinflammation. Her work bridges virology, immunology, and neuroscience, with studies on CD8+ T cell dysfunction in aged brains, viral CNS invasion, and tau protein pathogenesis. Key contributions include identifying how antigen non-specific CD8+ T cells accelerate cognitive decline in aged mice after coronavirus infection and elucidating antibody-mediated tau fibril uptake in microglia. Dr. Funk's lab focuses on neurotropic viral infections in aging CNS and Alzheimer's disease, with recent studies exploring SARS-CoV-2's long-term neurological impacts. Her publications highlight the interplay between viral infections, immune responses, and neurodegeneration, offering insights into therapeutic strategies targeting T cells and neuroinflammatory pathways. No scientific awards or formal advisees are listed in the provided texts. Her research emphasizes translational applications, linking fundamental discoveries to potential treatments for neurodegenerative diseases.

Poulain-Zarcos Marieمشاهده پروفایل

مدرس

• Particle Transport
• Stratification
• Turbulent Flow
• +۶ مورد دیگر

Marie Poulain-Zarcos is a Lecturer and researcher in fluid mechanics and the environment at École Centrale de Lyon, within the Department of Fluid Mechanics, Acoustics and Physics. She leads the Water and Wind Engineering (WWE) master's program and contributes to teaching activities in courses such as 'Computing for Engineers' and 'Fluid Mechanics.' Her research focuses on particle transport, turbulent flows, microplastics, and renewable energy. Education: Engineering diploma from Grenoble INP - ENSE3, PhD in fluid mechanics from the Toulouse Institute of Fluid Mechanics, and a post-doctorate in Marseille on red blood cell distribution. Research Interests: Her work spans microplastic transport in oceans, stratification effects, and applications in renewable energy. She employs experimental and modeling approaches to address environmental challenges like marine pollution and fluid dynamics in complex systems. Training Activities: She teaches fluid mechanics and ecological transition courses, and actively participates in outreach initiatives like the 'For Girls and Science' program with the L'Oréal Foundation. Scientific Contributions: Her articles explore marine plastic pollution, microplastic origins, and fluid dynamics in both environmental and biomedical contexts. She collaborates with labs like LMFA and MFAE. Advising & Grants: No advisees listed, but she contributes to curriculum development and research projects. Labs/Teams: Affiliated with LMFA (Laboratoire de Mécanique et Acoustique) and MFAE (Mechanics, Fluids, Acoustics, and Energy).

Timothy Hazzardمشاهده پروفایل

مدرس ارشد

• Veterinary Science
• Animal Reproduction
• Physiology
• +۳ مورد دیگر

Timothy Hazzard is a Senior Lecturer in the Department of Animal and Rangeland Sciences at Oregon State University. His career spans over two decades, with affiliations to both the Oregon National Primate Center and Oregon State University's main campus. DVM | Oregon State University | 2005 Ph.D. | Physiology | Oregon State University | 1997 B.S. | Animal Science | Cornell University | 1991 Dr. Hazzard's research focuses on reproductive physiology across multiple species. His work examines hormonal regulation, placental development, and fertility management techniques in canines, ovines, and equines. Key areas include endocrine responses to GnRH vaccines, comparative placental biology, and ovulation control mechanisms. His peer-reviewed publications demonstrate expertise in reproductive endocrinology and theriogenology. Core themes involve hormonal interventions, biomarker analysis, and fetal/placental health. Articles frequently address practical applications for veterinary practitioners. Dr. Hazzard maintains active collaboration with Dr. Mary Kutzler and contributes to clinical veterinary literature through chapters in major reference works. His laboratory work includes animal model development and cellular characterization studies.

Brian Woodمشاهده پروفایل

استاد

• Transport Phenomena
• Multiscale Analysis
• Environmental Engineering
• +۳ مورد دیگر

Brian Wood is a Professor in the Department of Chemical, Biological, and Environmental Engineering at Oregon State University (OSU), part of the College of Engineering. His research focuses on multiscale systems analysis, particularly in transport phenomena, tissue modeling, and environmental engineering applications. He holds a Ph.D. in Civil and Environmental Engineering from the University of California, Davis (1999), an M.S. in Environmental Engineering from Washington State University (1990), and a B.S. in Civil Engineering from Washington State University (1988). Wood’s research interests span transport of mass, momentum, and energy in natural and engineered systems, including multiscale tissue analysis and cancer biology modeling. His work integrates computational methods with experimental data to address challenges in porous media dynamics, biofilm growth, and environmental remediation. Notable contributions include studies on non-equilibrium transport, chemotaxis in granular media, and biofilm architecture visualization using synchrotron-based X-ray tomography. His recent publications (2020–2025) emphasize advancements in upscaling techniques for porous media flow, machine learning applications in biomedical modeling, and regulatory frameworks for end-user control systems. He leads the Computation and Simulation research group at OSU, fostering interdisciplinary approaches to multiscale hydrogeologic modeling. Wood’s research has been supported by collaborative grants focusing on bacterial transport in heterogeneous environments and hybrid multiscale methods. His work bridges theoretical developments in continuum mechanics with practical applications in environmental engineering and biomedical systems.

Christopher Brunsonمشاهده پروفایل

استادیار

• Oncologic Outcomes
• Healthcare Disparities
• Non-Alcoholic Steatohepatitis (NASH)/Non-Alcoholic Fatty Liver Disease (NAFLD)
• +۶ مورد دیگر

Dr. Christopher Brunson is an Assistant Professor in the Department of Radiology at the University of California, San Francisco (UCSF) School of Medicine. He completed his medical degree at UCSF, followed by an internship at the UCSF-East Bay Surgery Program. His residency in interventional radiology was at the University of Arizona, where he served as Chief Resident and contributed to Graduate Medical Education committees. Dr. Brunson’s research focuses on oncologic outcomes, healthcare disparities (particularly in patients with NASH/NAFLD), and advanced dosimetry. His clinical practice emphasizes interventional radiology methods for liver tumors, including percutaneous radiofrequency ablation and tumor perfusion analysis. Education: MD from UCSF; Residency at University of Arizona. Roles: Chief Interventional Radiology Resident; Committee Member in Graduate Medical Education. Research Interests: His work addresses disparities in healthcare outcomes, particularly for patients with NASH/NAFLD, and explores tumor perfusion augmentation techniques. He has published extensively on interventional radiology innovations, including cryoablation, radioembolization, and imaging methodologies such as 2-D perfusion angiography and Tc-99m MAA SPECT/CT. Awards: RSNA Roentgen Resident/Fellow Research Award (2023); University of Arizona GME Resident Academic Career Scholarship (2020). Dr. Brunson is also an advocate for equity in healthcare, co-founding #whitecoatsforBlacklives during his medical training to address systemic racial disparities.

Jing Liuمشاهده پروفایل

استاد

• Cardiovascular Imaging
• MRI Data Acquisition Techniques
• Medical Imaging Technology
• +۳ مورد دیگر

Jing Liu, PhD, is a Professor in the Department of Radiology and Biomedical Imaging at the University of California, San Francisco (UCSF). She holds adjunct faculty roles and leads research in advanced MRI techniques. Her primary focus is developing 3D dynamic MRI methods for cardiovascular imaging, including coronary imaging and cardiac-cine techniques. Dr. Liu's work emphasizes improving scan speed, spatial/temporal resolution, and clinical applicability of MRI. Education: BS (Electrical Engineering, University of Science and Technology of China, 2001), MS (Electrical Engineering, McMaster University, 2003), PhD (Electrical Engineering, University of Wisconsin-Madison, 2008). Postdoctoral Training: Radiology at Weill Cornell Medical College (2008–2010). Research interests include 4D MRI, fast imaging protocols, self-gating techniques, non-cartesian data acquisition, compressed sensing, and parallel imaging. She has pioneered methods for reducing scan time and motion artifacts in clinical settings. Publications reflect her expertise in MRI reconstruction algorithms, cardiac imaging, and automated segmentation. Key contributions include papers on respiratory-resolved 3D cine MRI and non-contrast black blood MRI for abdominal aneurysms. Awards: NIH K25 Award (2012–2017), multiple Distinguished Reviewer accolades, and American Heart Association grants. Professional Affiliations: International Society for Magnetic Resonance in Medicine, American Heart Association, Society of Cardiovascular Magnetic Resonance. Liu’s lab focuses on translational MRI technologies. Current projects include 3D multi-contrast MRI for glioma assessment and developing AI-driven segmentation tools for cardiac and vascular imaging.

Kambiz Naelمشاهده پروفایل

استاد

• Neuroradiology
• Stroke Imaging
• Cerebrovascular Diseases
• +۴ مورد دیگر

Kambiz Nael, MD is a Professor In Residence in the Department of Radiology at the University of California, San Francisco (UCSF) School of Medicine. His academic career includes faculty roles at the University of Arizona Medical Center (2012-15), Icahn School of Medicine at Mount Sinai (2015-19), and UCLA (2020-2024). He holds leadership roles such as Director of Neuroradiology MRI and Stroke Imaging at University of Arizona, and Director of MRI/CT & Advanced Imaging at Mount Sinai. Education: Diagnostic Radiology residency (2011) and Neuroradiology fellowship (2012) at UCLA's David Geffen School of Medicine. Research: Focuses on quantitative neuroimaging for cerebrovascular diseases and stroke. Developed 6-minute MRI stroke protocol and 4D parathyroid MR protocol. Published over 140 peer-reviewed articles and led NIH-funded studies. Teaching: Designs multidisciplinary conferences for trainees, mentors students/postdocs, and delivers online lectures on AI in neuroradiology and acute stroke. Research Interests: Advanced imaging technology, stroke imaging, AI-driven diagnostics, and neurovascular interventions. Key topics include perfusion imaging, collateral circulation assessment, and machine learning applications. Publications: Recent work includes studies on venous transit's role in stroke outcomes, perfusion imaging biomarkers, and AI algorithms for ASPECTS scoring. Over 140 peer-reviewed articles highlight his contributions to stroke neuroimaging. Awards: Radiology Editor’s Recognition Award (4 years consecutively). Labs/Teams: Leads the Neuroimaging Advanced and Exploratory Lab at UCSF, focusing on cerebrovascular imaging methodologies, stroke risk stratification, and aneurysm research. Collaborates on NIH-funded projects and international trials like TESSERACT.

Roselle Abrahamمشاهده پروفایل

دانشیار

• Cardiology
• Hypertrophic Cardiomyopathy
• Electrophysiology
• +۳ مورد دیگر

Roselle Abraham, MD is an Associate Professor in the Department of Medicine at the UCSF School of Medicine. Her clinical expertise focuses on treating patients with hypertrophic cardiomyopathy, while her research integrates electrophysiology, imaging, and stem cell research to improve patient outcomes. She leads a program combining multi-modality imaging and model systems to personalize therapies for cardiomyopathy patients. Her research interests emphasize risk stratification of arrhythmias using advanced imaging techniques such as PET/CT, MRI, and echocardiography. Key contributions include studies on myocardial blood flow heterogeneity, left ventricular remodelling, and the role of metabolic imaging in cardiac disease. Dr. Abraham has co-authored over 70 peer-reviewed articles across cardiology, imaging, and genetics, with recent work focusing on genetic variants in cardiomyopathy and clinical outcomes in patient subgroups. Her publications highlight innovations in diagnostic approaches, including variable resolution MRI techniques and machine learning applications for arrhythmia prediction. While no specific awards are listed, her consistent output in high-impact cardiology journals underscores her scholarly contributions. Ongoing research examines age-related phenotypic changes in cardiomyopathy and the role of miRNA in cardiac dysfunction.

• Biological Sciences
• Medical Research
• Public Health
• +۳ مورد دیگر

Dr. Courtney Judkins is a Research Officer at La Trobe University, affiliated with the Department of Microbiology, Anatomy, Physiology & Pharmacology. Her research focuses on cardiovascular disease mechanisms, atherosclerosis, and the interplay between oxidative stress and genetic factors in disease progression. She has expertise in biomedical research methodologies, including animal models and epidemiological studies. Her work spans topics such as the role of NOX enzymes in vascular dysfunction, genetic influences on cardiovascular outcomes (e.g., ApoE knockout mice), and clinical epidemiology of cardiovascular risk factors in specific populations (e.g., elderly patients and those with Down syndrome). She collaborates widely with researchers in pharmacology, cardiology, and public health. Key contributions include investigating appendectomy's cardiovascular effects in elderly populations, the dual roles of NOX2 in atherosclerosis, and the impact of aldosterone on hypertension via immunological pathways. Her research integrates molecular, physiological, and population-level analyses to advance understanding of cardiovascular pathophysiology. Dr. Judkins has published extensively in high-impact journals like the New England Journal of Medicine and Scientific Reports, with a focus on translating basic science findings into clinical insights. Her work emphasizes translational research to improve cardiovascular health outcomes and public health strategies.